rename vector_store crate to semantic_index
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14 changed files with 186 additions and 183 deletions
139
crates/semantic_index/src/parsing.rs
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139
crates/semantic_index/src/parsing.rs
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use anyhow::{anyhow, Ok, Result};
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use language::Language;
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use std::{ops::Range, path::Path, sync::Arc};
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use tree_sitter::{Parser, QueryCursor};
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#[derive(Debug, PartialEq, Clone)]
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pub struct Document {
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pub name: String,
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pub range: Range<usize>,
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pub content: String,
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pub embedding: Vec<f32>,
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}
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const CODE_CONTEXT_TEMPLATE: &str =
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"The below code snippet is from file '<path>'\n\n```<language>\n<item>\n```";
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const ENTIRE_FILE_TEMPLATE: &str =
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"The below snippet is from file '<path>'\n\n```<language>\n<item>\n```";
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pub const PARSEABLE_ENTIRE_FILE_TYPES: [&str; 4] = ["TOML", "YAML", "JSON", "CSS"];
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pub struct CodeContextRetriever {
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pub parser: Parser,
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pub cursor: QueryCursor,
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}
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impl CodeContextRetriever {
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pub fn new() -> Self {
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Self {
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parser: Parser::new(),
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cursor: QueryCursor::new(),
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}
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}
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fn _parse_entire_file(
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&self,
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relative_path: &Path,
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language_name: Arc<str>,
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content: &str,
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) -> Result<Vec<Document>> {
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let document_span = ENTIRE_FILE_TEMPLATE
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.replace("<path>", relative_path.to_string_lossy().as_ref())
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.replace("<language>", language_name.as_ref())
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.replace("item", &content);
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Ok(vec![Document {
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range: 0..content.len(),
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content: document_span,
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embedding: Vec::new(),
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name: language_name.to_string(),
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}])
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}
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pub fn parse_file(
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&mut self,
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relative_path: &Path,
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content: &str,
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language: Arc<Language>,
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) -> Result<Vec<Document>> {
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if PARSEABLE_ENTIRE_FILE_TYPES.contains(&language.name().as_ref()) {
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return self._parse_entire_file(relative_path, language.name(), &content);
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}
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let grammar = language
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.grammar()
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.ok_or_else(|| anyhow!("no grammar for language"))?;
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let embedding_config = grammar
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.embedding_config
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.as_ref()
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.ok_or_else(|| anyhow!("no embedding queries"))?;
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self.parser.set_language(grammar.ts_language).unwrap();
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let tree = self
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.parser
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.parse(&content, None)
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.ok_or_else(|| anyhow!("parsing failed"))?;
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let mut documents = Vec::new();
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// Iterate through query matches
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let mut name_ranges: Vec<Range<usize>> = vec![];
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for mat in self.cursor.matches(
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&embedding_config.query,
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tree.root_node(),
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content.as_bytes(),
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) {
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let mut name: Vec<&str> = vec![];
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let mut item: Option<&str> = None;
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let mut byte_range: Option<Range<usize>> = None;
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let mut context_spans: Vec<&str> = vec![];
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for capture in mat.captures {
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if capture.index == embedding_config.item_capture_ix {
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byte_range = Some(capture.node.byte_range());
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item = content.get(capture.node.byte_range());
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} else if capture.index == embedding_config.name_capture_ix {
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let name_range = capture.node.byte_range();
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if name_ranges.contains(&name_range) {
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continue;
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}
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name_ranges.push(name_range.clone());
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if let Some(name_content) = content.get(name_range.clone()) {
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name.push(name_content);
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}
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}
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if let Some(context_capture_ix) = embedding_config.context_capture_ix {
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if capture.index == context_capture_ix {
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if let Some(context) = content.get(capture.node.byte_range()) {
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context_spans.push(context);
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}
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}
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}
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}
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if let Some((item, byte_range)) = item.zip(byte_range) {
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if !name.is_empty() {
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let item = if context_spans.is_empty() {
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item.to_string()
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} else {
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format!("{}\n{}", context_spans.join("\n"), item)
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};
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let document_text = CODE_CONTEXT_TEMPLATE
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.replace("<path>", relative_path.to_str().unwrap())
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.replace("<language>", &language.name().to_lowercase())
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.replace("<item>", item.as_str());
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documents.push(Document {
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range: byte_range,
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content: document_text,
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embedding: Vec::new(),
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name: name.join(" ").to_string(),
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});
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}
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}
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}
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return Ok(documents);
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}
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}
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